Hand Gesture Recognition Using Convex Hull-Based Approach

Kaustubh Wani, S. Ramya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


Gesture recognition is a tool that can be used to control any common device by effortless hand gestures. The goal behind gesture recognition is to minimize the gap between the digital world and the physical world. This wireless interaction creates this algorithm much friendlier to the user. This paper tells the technological characteristics of gesture-controlled user interface (GCUI), and also recognizes its trend and application. It is observed that GCUI now offers practical opportunities for application-specific areas, especially for people who are not comfortable with input devices which are commonly used. This project implements an advanced image processing application to recognize the gestures and process them in real time for better and reliable results. To recognize the gesture the ratio of the percentage of area not covered by hand in the convex hull is found. The optimized code is easily integrated with a Raspberry-Pi processor or microcontroller for a fully functional robot.

Original languageEnglish
Title of host publicationAdvances in Communication, Devices and Networking - Proceedings of ICCDN 2020
EditorsSourav Dhar, Subhas Chandra Mukhopadhyay, Samarendra Nath Sur, Chuan-Ming Liu
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages10
ISBN (Print)9789811629105
Publication statusPublished - 2022
Event4th International Conference on Communication, Device and Networking, ICCDN 2020 - Gangtok, India
Duration: 19-12-202020-12-2020

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


Conference4th International Conference on Communication, Device and Networking, ICCDN 2020

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering


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